This repository contains a list of NLP paper summaries intended to make NLP techniques and topics more approachable and accessible. Work in progress. There is a lot more to be added/improved in the coming days.

If you have blogged about an NLP paper or technique or find an interesting read out there, I encourage you to share with our community. To add your blog posts or summaries to this list just hit on the edit button on this README.md. You can then add your entry by modiying the readme file and submitting a PR which will be reviewed before going live. Alternatively, we can work on transferring the summaries to this repo itself so as to make them more accessible, which is what I am currently doing with some of my own paper summaries below.

If you would like to contribute by blogging about an NLP paper/technique, you can check out our suggestion/guidance at this issue.

And if you need any ideas on how else to contribute to this repo, take a look in the issues section. We are in need of maintainers.

For now, I have adopted a few tracks from ACL for the grouping but this can change based on the granularity of grouping that is needed. Open to ideas here.

If you are facing any issues submitting your PR, just send me an email at [email protected] or DM me on Twitter.

Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models -- Summary, Paper

Multimodal Classification for Analysing Social Media -- Summary, Paper

Towards a Human-like Open-Domain Chatbot — Summary, Paper

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems -- Summary, Paper

Troubling Trends in Machine Learning Scholarship -- Summary, Paper

Encode, Tag, Realize: High-Precision Text Editing — Summary, Paper

What Does BERT Look At? An Analysis of BERT's Attention -- Summary, Paper

Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds using Paraphrases in a Neural Model -- Summary, Paper

Revealing the Dark Secrets of BERT — Summary, Paper

Probing Neural Network Comprehension of Natural Language Arguments — Summary, Paper

Reformer: The Efficient Transformer — Summary, Paper

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context -- Summary, Paper

XLNet: Generalized Autoregressive Pretraining for Language Understanding -- Summary, Paper

Fine-Tuning GPT-2 from Human Preferences — Summary, Paper

ALBERT: A Lite BERT for Self-Supervised Learning Of Language Representations — Summary, Paper

A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks -- Summary, Paper

nocaps: novel object captioning at scale -- Summary, Paper

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations -- Summary, Paper

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts -- Summary, Paper

A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks -- Summary, Paper

Exploring Emoji Usage and Prediction Through a Temporal Variation Lens -- Summary, Paper

Context-Dependent Sentiment Analysis in User-Generated Videos -- Summary, Paper

Recent Trends in Deep Learning Based Natural Language Processing -- Summary, Paper

NLP Year in Review — 2019 -- Summary

A Light Introduction to Transfer Learning for NLP -- Summary

10 ML & NLP Research Highlights of 2019 — Summary

Google Research: Looking Back at 2019, and Forward to 2020 and Beyond — Summary

Attention? Attention! — Summary

Generalized Language Models — Summary

Parameter-Efficient Transfer Learning for NLP -- Summary, Paper

• Categorize papers; I am aiming to categorize paper summaries by using the categories in the NLP Progress or prominent tracks used in NLP conferences; if you have any suggestions/questions please open an issue or send me a message directly on Twitter or via email.
• Include more info about each paper summaries, excerpt, authors, source, year, etc.
• More paper summaries are coming!
• Move all paper summaries to GitHub so others can also edit, contribute, and review